A representation model of collaboration in design process

Suto, Hidetsugu; Patitad, Patchanee

doi:10.1109/ascc.2015.7244776

Cited by 5 publications

(6 citation statements)

References 6 publications

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“…An effective approach that can facilitate the sharing of knowledge and ideas among members of a team is collaboration 22 . In a team, effective collaboration will result in a synergy between groups that will contribute to generating novel knowledge 22 . Collaboration is closely related to KS.…”

Section: Collaborationmentioning

confidence: 99%

“…Effective KS can encourage the collaborative process and produce new useful knowledge. Collaboration occurs when all team members produce new knowledge from the existing media KS 22 . Effective collaboration also becomes evident through the perceived add value of, for example, the improvement of organisational learning or an increase of individual experience.…”

Section: Collaborationmentioning

confidence: 99%

“…A Representation Model of Collaboration in the Design ProcessSuto22 Acceptance of Corporate Blogs for Collaboration and Knowledge Sharing Pradas 10CampusWatch-Exploring Community Sourced Patrolling with Pervasive Mobile Technology Park24 Cross-Functional Knowledge Sharing, Coordination and Firm Performance-The Role of Cross-Functional Competition Nguyen25 Examining the Impacts of Organizational Culture and Top Management Support of Knowledge Sharing on the Success of Software Process Improvement Lee…”

mentioning

confidence: 99%

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Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Sensuse

Lestari

Hakim

2021

DESIDOC Jl. Lib. Info. Technol.

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Knowledge sharing (KS) plays an essential role in enhancing performance and innovation within organisations, and many organisations implement various mechanisms and technology to support successful KS. It is therefore crucial for organisations to understand what factors might have an impact on the application of knowledge sharing for collaboration within their organisations. This study conducted a systematic literature review to investigate what mechanisms or technologies organisations use to share knowledge and what factors influence that usage. This systematic literature review used the Kitchenham method, selecting 19 articles as eligible for this study from a total of 853. The articles chosen were published between 2015 and 2020 and were retrieved from five popular databases: Science Direct, Scopus, IEEE, ACM Digital library, and Springer. The results of the conducted review found that trust, appreciation, management support, and organisational goals were factors that facilitated collaboration in KS. Among the mechanisms identified were the use of face-to-face meetings, employment of a chief knowledge officer, the implementation of technology to support KS, and collaboration on a webblog.

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Section: Collaborationmentioning

confidence: 99%

Section: Collaborationmentioning

confidence: 99%

mentioning

confidence: 99%

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Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Sensuse

Lestari

Hakim

2021

DESIDOC Jl. Lib. Info. Technol.

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“…Due to its generality, CT has found wide applications in recent years in several areas such as computer science (Guo, 2002), artificial intelligence (Phillips, 2017), Systems Engineering (SE) (Mabrok and Ryan, 2017) and collaborative design (Suto and Patitad, 2015). In the context of collaborative design, Rutle et al (2009) described an approach to three-way merging of models represented as graphs based on CT.…”

Section: State Of the Artmentioning

confidence: 99%

Knowledge capitalization in mechatronic collaborative design

Fradi

Gaha

Mhenni

et al. 2021

Concurrent Engineering

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In mechatronic collaborative design, there is a synergic integration of several expert domains, where heterogeneous knowledge needs to be shared. To address this challenge, ontology-based approaches are proposed as a solution to overtake this heterogeneity. However, dynamic exchange between design teams is overlooked. Consequently, parametric-based approaches are developed to use constraints and parameters consistently during collaborative design. The most valuable knowledge that needs to be capitalized, which we call crucial knowledge, is identified with informal solutions. Thus, a formal identification and extraction is required. In this paper, we propose a new methodology to formalize the interconnection between stakeholders and facilitate the extraction and capitalization of crucial knowledge during the collaboration, based on the mathematical theory ‘Category Theory’ (CT). Firstly, we present an overview of most used methods for crucial knowledge identification in the context of collaborative design as well as a brief review of CT basic concepts. Secondly, we propose a methodology to formally extract crucial knowledge based on some fundamental concepts of category theory. Finally, a case study is considered to validate the proposed methodology.

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“…In addition, Patel, Pettitt and Wilson [18] indicate that "collaboration involves two or more people engaged in interaction with each other, within a single episode or series of episodes, working towards the common goals". According to Suto and Patitad [22], "collaboration is a communication process" and they emphasize the functionalities of knowledge transfer in the process of collaboration.…”

Section: A Definitionmentioning

confidence: 99%

Contact and Collaboration Context Model

Abel

Negre

2018

2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)

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Working collaboratively is no longer an issue but a reality, what matters today is how to implement collaboration so that it is as successful as possible. It is therefore necessary to consider the criteria to be taken into account to promote its effectiveness. As part of our work, we are interested in taking into account the collaboration context for this purpose and the role that contact can take in this context. We wondered about its definition, representation and exploitation. The latter must be able to be done at different stages of collaboration: before, during and after. In this article, we present the collaboration context model that we have established and show why and how it can be used to establish successful collaboration.

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A representation model of collaboration in design process

Cited by 5 publications

References 6 publications

Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Knowledge capitalization in mechatronic collaborative design

Contact and Collaboration Context Model

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